Find situations in which following answers are right
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fgnprlgubzcfba45
Mathematics
Description
using the problem 53/7=? Find situations in which each of the following answers are correct
A. 7
B. 7r2
C:8
D: 7 or 8
E. 7 4/7
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Hi i have an assignment to submit and I am uploading the template needed to complete the assignment. The template information will be replaced with the answers you supply. The document is called DAA Template. I am pasting the information for Assignment 8 in the requirements area. SPSS is needed to open the grades file and to complete this assignment. I have attached the attachment that includes all resources needed. Thank you so muchAssignment 8[u08a1] Unit 8 Assignment 1t TestsSee the Resources area for links to resources that you will use for this assignment:You will complete this assignment using the DAA Template.Read the SPSS Data Analysis Report Guidelines for a more complete understanding of the DAA Template and how to format and organize your assignment.Refer to the IBM SPSS Step-By-Step Guide: t Tests for additional information on using SPSS for this assignment.If necessary, review the Copy/Export Output Instructions to refresh your memory on how to perform these tasks. As with your previous assignments, your submission should be in narrative format with supporting statistical output (table and graphs) integrated into the narrative in the appropriate places (not all at the end of the document).You will analyze the following variables in the grades.sav data set:gendergpaStep 1: Write Section 1 of the DAA.Provide the context of the grades.sav data set.Include a definition of the specified variables (predictor, outcome) and corresponding scales of measurement.Specify the sample size of the data set.Step 2: Write Section 2 of the DAA.Analyze the assumptions of the t test.Paste the SPSS histogram output for gpa and discuss your visual interpretations.Paste SPSS descriptives output showing skewness and kurtosis values for gpa and interpret them.Paste SPSS output for the Shapiro-Wilk test of gpa and interpret it.Report the results of the Levene test and interpret it.Summarize whether or not the assumptions of the t test are met.Step 3: Write Section 3 of the DAA.Specify a research question related to gender and gpa.Articulate the null hypothesis and alternative hypothesis.Specify the alpha level.Step 4: Write Section 4 of the DAA.Paste the SPSS output of the t test.Report the results of the SPSS output using proper APA guidelines (refer to the Unit 8 Introduction and the "Results" example from the Warner text in Chapter 5). Include the following:t.Degrees of freedom.p value.Effect size.Interpretation of effect size.Means and standard deviations for each group.Mean difference.95% confidence interval of the difference of sample means.Interpret the results against the null hypothesis.Step 5: Write Section 5 of the DAA.Discuss the implications of this t test as it relates to the research question.Conclude with an analysis of the strengths and limitations of the t test.Submit your DAA Template as an attached Word document in the assignment area.Resourcest Tests Scoring Guide.IBM SPSS Step-by-Step Guide: t Tests [DOC].DAA Template [DOCX].APA Style and Format.SPSS Data Analysis Report Guidelines.Copy/Export Output Instructions.
Fundamentals of Mathematical Modelling
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For this assignment you will implement a project involving linear curve-fitting and interpretation. You will assess the ap ...
Linear Project, math homework help
For this assignment you will implement a project involving linear curve-fitting and interpretation. You will assess the appropriateness of a linear model, and explore the predictive power of the model. You will use appropriate technology to perform the modeling tasks.For this assignment, collect data exhibiting a relatively linear trend, find the line of best fit, plot the data and the line, interpret the slope, and use the linear equation to make a prediction. Also, find r2 (coefficient of determination) and r (correlation coefficient). Discuss your findings. Your topic may be that is related to sports, your work, a hobby, or something you find interesting. If you choose, you may use the suggestions described below. A Linear Model Example and Technology Tips are provided in separate documents.Tasks for Linear Regression Model (LR)(LR-1) Describe your topic, provide your data, and cite your source. Collect at least 8 data points. Label appropriately. (Highly recommended: Post this information in the Linear Model Project discussion as well as in your completed project. Include a brief informative description in the title of your posting. Each student must use different data.) The idea with the discussion posting is two-fold: (1) To share your interesting project idea with your classmates, and (2) To give me a chance to give you a brief thumbs-up or thumbs-down about your proposed topic and data. Sometimes students get off on the wrong foot or misunderstand the intent of the project, and your posting provides an opportunity for some feedback. Remark: Students may choose similar topics, but must have different data sets. For example, several students may be interested in a particular Olympic sport, and that is fine, but they must collect different data, perhaps from different events or different gender.(LR-2) Plot the points (x, y) to obtain a scatterplot. Use an appropriate scale on the horizontal and vertical axes and be sure to label carefully. Visually judge whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different topic or data set.)(LR-3) Find the line of best fit (regression line) and graph it on the scatterplot. State the equation of the line.(LR-4) State the slope of the line of best fit. Carefully interpret the meaning of the slope in a sentence or two.(LR-5) Find and state the value of r2, the coefficient of determination, and r, the correlation coefficient. Discuss your findings in a few sentences. Is r positive or negative? Why? Is a line a good curve to fit to this data? Why or why not? Is the linear relationship very strong, moderately strong, weak, or nonexistent?(LR-6) Choose a value of interest and use the line of best fit to make an estimate or prediction. Show calculation work.(LR-7) Write a brief narrative of a paragraph or two. Summarize your findings and be sure to mention any aspect of the linear model project (topic, data, scatterplot, line, r, or estimate, etc.) that you found particularly important or interesting. You may submit all of your project in one document or a combination of documents, which may consist of word processing documents or spreadsheets or scanned handwritten work, provided it is clearly labeled where each task can be found. Be sure to include your name. Projects are graded on the basis of completeness, correctness, ease in locating all of the checklist items, and strength of the narrative portions.Here are some possible topics: Choose an Olympic sport -- an event that interests you. Go to http://www.databaseolympics.com/ and collect data for winners in the event for at least 8 Olympic games (dating back to at least 1980). (Example: Winning times in Men's 400 m dash). Make a quick plot for yourself to "eyeball" whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different event.) After you find the line of best fit, use your line to make a prediction for the next Olympics (2014 for a winter event, 2016 for a summer event ).Choose a particular type of food. (Examples: Fish sandwich at fast-food chains, cheese pizza, breakfast cereal) For at least 8 brands, look up the fat content and the associated calorie total per serving. Make a quick plot for yourself to "eyeball" whether the data exhibit a relatively linear trend. (If so, proceed. If not, try a different type of food.) After you find the line of best fit, use your line to make a prediction corresponding to a fat amount not occurring in your data set.) Alternative: Look up carbohydrate content and associated calorie total per serving.Choose a sport that particularly interests you and find two variables that may exhibit a linear relationship. For instance, for each team for a particular season in baseball, find the total runs scored and the number of wins. Excellent websites: http://www.databasesports.com/ and http://www.baseball-reference.com/
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University of California Los Angeles Conditionally Convergent Exercises
2. Let xn =
n+1
n2+1 .
(a) Prove that (xn) is a decreasing sequence.
(b) Prove that P∞
n=1(−1)n+1xn is a converge ...
University of California Los Angeles Conditionally Convergent Exercises
2. Let xn =
n+1
n2+1 .
(a) Prove that (xn) is a decreasing sequence.
(b) Prove that P∞
n=1(−1)n+1xn is a convergent series.
(c) Find a constant c > 0 such that xn ≥
c
n
for all n ∈ N.
(d) Determine whether the series P∞
n=1(−1)n+1xn is absolutely or conditionally convergent. 3. Let P∞
n=1 xn and P∞
n=1 yn be convergent series. Show that:
(a) P∞
n=1(axn) = a
P∞
n=1 xn for any a ∈ R.
(b) Show that P∞
n=1(xn + yn) = P∞
n=1 xn +
P∞
n=1 yn.
These results are series analogues of the Algebraic limit theorem.
(c) Show that the assumption that both series converge is necessary for part (b).
(d) Is it true that P∞
n=1 xnyn =
P∞
n=1 xn
P∞
n=1 yn
6. Study the convergence of the following series:
(a) X∞
n=1
2
n
n2
(b) X∞
n=1
n
2
2
n
(c) X∞
n=1
(−1)n+1n
2 + 2
n2 + 1
(d) X∞
n=2
n
log n
(log n)
n
(e) X∞
n=1
√
n + 1 −
√
n
n
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n=1
(xn+1 − xn) for any sequence (xn)
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PSY7864 Capella University Data Analysis and Application T Test Paper
Hi i have an assignment to submit and I am uploading the template needed to complete the assignment. The template informat ...
PSY7864 Capella University Data Analysis and Application T Test Paper
Hi i have an assignment to submit and I am uploading the template needed to complete the assignment. The template information will be replaced with the answers you supply. The document is called DAA Template. I am pasting the information for Assignment 8 in the requirements area. SPSS is needed to open the grades file and to complete this assignment. I have attached the attachment that includes all resources needed. Thank you so muchAssignment 8[u08a1] Unit 8 Assignment 1t TestsSee the Resources area for links to resources that you will use for this assignment:You will complete this assignment using the DAA Template.Read the SPSS Data Analysis Report Guidelines for a more complete understanding of the DAA Template and how to format and organize your assignment.Refer to the IBM SPSS Step-By-Step Guide: t Tests for additional information on using SPSS for this assignment.If necessary, review the Copy/Export Output Instructions to refresh your memory on how to perform these tasks. As with your previous assignments, your submission should be in narrative format with supporting statistical output (table and graphs) integrated into the narrative in the appropriate places (not all at the end of the document).You will analyze the following variables in the grades.sav data set:gendergpaStep 1: Write Section 1 of the DAA.Provide the context of the grades.sav data set.Include a definition of the specified variables (predictor, outcome) and corresponding scales of measurement.Specify the sample size of the data set.Step 2: Write Section 2 of the DAA.Analyze the assumptions of the t test.Paste the SPSS histogram output for gpa and discuss your visual interpretations.Paste SPSS descriptives output showing skewness and kurtosis values for gpa and interpret them.Paste SPSS output for the Shapiro-Wilk test of gpa and interpret it.Report the results of the Levene test and interpret it.Summarize whether or not the assumptions of the t test are met.Step 3: Write Section 3 of the DAA.Specify a research question related to gender and gpa.Articulate the null hypothesis and alternative hypothesis.Specify the alpha level.Step 4: Write Section 4 of the DAA.Paste the SPSS output of the t test.Report the results of the SPSS output using proper APA guidelines (refer to the Unit 8 Introduction and the "Results" example from the Warner text in Chapter 5). Include the following:t.Degrees of freedom.p value.Effect size.Interpretation of effect size.Means and standard deviations for each group.Mean difference.95% confidence interval of the difference of sample means.Interpret the results against the null hypothesis.Step 5: Write Section 5 of the DAA.Discuss the implications of this t test as it relates to the research question.Conclude with an analysis of the strengths and limitations of the t test.Submit your DAA Template as an attached Word document in the assignment area.Resourcest Tests Scoring Guide.IBM SPSS Step-by-Step Guide: t Tests [DOC].DAA Template [DOCX].APA Style and Format.SPSS Data Analysis Report Guidelines.Copy/Export Output Instructions.
Fundamentals of Mathematical Modelling
Answer all 5 questions. will provide the lecture notes if required.MTH213e Fundamentals of Mathematical Modelling
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Answer all 5 questions. will provide the lecture notes if required.MTH213e Fundamentals of Mathematical Modelling
Linear Project, math homework help
For this assignment you will implement a project involving linear curve-fitting and interpretation. You will assess the ap ...
Linear Project, math homework help
For this assignment you will implement a project involving linear curve-fitting and interpretation. You will assess the appropriateness of a linear model, and explore the predictive power of the model. You will use appropriate technology to perform the modeling tasks.For this assignment, collect data exhibiting a relatively linear trend, find the line of best fit, plot the data and the line, interpret the slope, and use the linear equation to make a prediction. Also, find r2 (coefficient of determination) and r (correlation coefficient). Discuss your findings. Your topic may be that is related to sports, your work, a hobby, or something you find interesting. If you choose, you may use the suggestions described below. A Linear Model Example and Technology Tips are provided in separate documents.Tasks for Linear Regression Model (LR)(LR-1) Describe your topic, provide your data, and cite your source. Collect at least 8 data points. Label appropriately. (Highly recommended: Post this information in the Linear Model Project discussion as well as in your completed project. Include a brief informative description in the title of your posting. Each student must use different data.) The idea with the discussion posting is two-fold: (1) To share your interesting project idea with your classmates, and (2) To give me a chance to give you a brief thumbs-up or thumbs-down about your proposed topic and data. Sometimes students get off on the wrong foot or misunderstand the intent of the project, and your posting provides an opportunity for some feedback. Remark: Students may choose similar topics, but must have different data sets. For example, several students may be interested in a particular Olympic sport, and that is fine, but they must collect different data, perhaps from different events or different gender.(LR-2) Plot the points (x, y) to obtain a scatterplot. Use an appropriate scale on the horizontal and vertical axes and be sure to label carefully. Visually judge whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different topic or data set.)(LR-3) Find the line of best fit (regression line) and graph it on the scatterplot. State the equation of the line.(LR-4) State the slope of the line of best fit. Carefully interpret the meaning of the slope in a sentence or two.(LR-5) Find and state the value of r2, the coefficient of determination, and r, the correlation coefficient. Discuss your findings in a few sentences. Is r positive or negative? Why? Is a line a good curve to fit to this data? Why or why not? Is the linear relationship very strong, moderately strong, weak, or nonexistent?(LR-6) Choose a value of interest and use the line of best fit to make an estimate or prediction. Show calculation work.(LR-7) Write a brief narrative of a paragraph or two. Summarize your findings and be sure to mention any aspect of the linear model project (topic, data, scatterplot, line, r, or estimate, etc.) that you found particularly important or interesting. You may submit all of your project in one document or a combination of documents, which may consist of word processing documents or spreadsheets or scanned handwritten work, provided it is clearly labeled where each task can be found. Be sure to include your name. Projects are graded on the basis of completeness, correctness, ease in locating all of the checklist items, and strength of the narrative portions.Here are some possible topics: Choose an Olympic sport -- an event that interests you. Go to http://www.databaseolympics.com/ and collect data for winners in the event for at least 8 Olympic games (dating back to at least 1980). (Example: Winning times in Men's 400 m dash). Make a quick plot for yourself to "eyeball" whether the data points exhibit a relatively linear trend. (If so, proceed. If not, try a different event.) After you find the line of best fit, use your line to make a prediction for the next Olympics (2014 for a winter event, 2016 for a summer event ).Choose a particular type of food. (Examples: Fish sandwich at fast-food chains, cheese pizza, breakfast cereal) For at least 8 brands, look up the fat content and the associated calorie total per serving. Make a quick plot for yourself to "eyeball" whether the data exhibit a relatively linear trend. (If so, proceed. If not, try a different type of food.) After you find the line of best fit, use your line to make a prediction corresponding to a fat amount not occurring in your data set.) Alternative: Look up carbohydrate content and associated calorie total per serving.Choose a sport that particularly interests you and find two variables that may exhibit a linear relationship. For instance, for each team for a particular season in baseball, find the total runs scored and the number of wins. Excellent websites: http://www.databasesports.com/ and http://www.baseball-reference.com/
7 pages
Deliverable 04 Worksheet
1. Market research has determined the following changes in market shares based on the different combinations of music choi ...
Deliverable 04 Worksheet
1. Market research has determined the following changes in market shares based on the different combinations of music choices for the two clubs: if ...
University of California Los Angeles Conditionally Convergent Exercises
2. Let xn =
n+1
n2+1 .
(a) Prove that (xn) is a decreasing sequence.
(b) Prove that P∞
n=1(−1)n+1xn is a converge ...
University of California Los Angeles Conditionally Convergent Exercises
2. Let xn =
n+1
n2+1 .
(a) Prove that (xn) is a decreasing sequence.
(b) Prove that P∞
n=1(−1)n+1xn is a convergent series.
(c) Find a constant c > 0 such that xn ≥
c
n
for all n ∈ N.
(d) Determine whether the series P∞
n=1(−1)n+1xn is absolutely or conditionally convergent. 3. Let P∞
n=1 xn and P∞
n=1 yn be convergent series. Show that:
(a) P∞
n=1(axn) = a
P∞
n=1 xn for any a ∈ R.
(b) Show that P∞
n=1(xn + yn) = P∞
n=1 xn +
P∞
n=1 yn.
These results are series analogues of the Algebraic limit theorem.
(c) Show that the assumption that both series converge is necessary for part (b).
(d) Is it true that P∞
n=1 xnyn =
P∞
n=1 xn
P∞
n=1 yn
6. Study the convergence of the following series:
(a) X∞
n=1
2
n
n2
(b) X∞
n=1
n
2
2
n
(c) X∞
n=1
(−1)n+1n
2 + 2
n2 + 1
(d) X∞
n=2
n
log n
(log n)
n
(e) X∞
n=1
√
n + 1 −
√
n
n
(f) X∞
n=1
(xn+1 − xn) for any sequence (xn)
8 pages
Project 3 1
Be sure to include ALL pages of this project (including the directions and the assignment) when you send the project to yo ...
Project 3 1
Be sure to include ALL pages of this project (including the directions and the assignment) when you send the project to your teacher for grading. ...
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